Triple
T30905011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بدر الدين العيني |
E787275
|
entity |
| Predicate | مكان_النشاط_الرئيسي |
P43446
|
FINISHED |
| Object | مصر |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: مصر | Statement: [بدر الدين العيني, مكان_النشاط_الرئيسي, مصر]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مكان_النشاط_الرئيسي Context triple: [بدر الدين العيني, مكان_النشاط_الرئيسي, مصر]
-
A.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
-
B.
performsPrimarilyIn
chosen
Indicates that an entity (such as a performer or group) mainly carries out its performances within a particular location, medium, or context.
-
C.
hasTourismAsMainEconomicActivity
Indicates that tourism is the primary source of economic activity or income for the referenced entity.
-
D.
majorActivity
Indicates that the related entity performs, participates in, or is primarily associated with a main or most significant activity.
-
E.
area of activity
Indicates the domain, field, or sphere in which an entity is active or carries out its primary functions or operations.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6927dd38081909f32b60565283795 |
completed | May 3, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:50 p.m.